scholarly journals Mild parkinsonian signs: the interface between aging and Parkinson’s disease

Author(s):  
Cristina Simonet ◽  
◽  
Alastair Noyce ◽  

Mild Parkinsonian Signs (MPS) describe a spectrum that exists between the expected motor decline of normal aging and a more serious motor deterioration resulting from Parkinson’s disease (PD) and neurodegeneration. Although MPS are a feature of the prodromal stage of PD, their formal definition is unclear and still relies somewhat on conventional clinical criteria for PD. This review will summarise the early motor features of PD and methods of assessment, from conventional clinical scales to advances in quantitative measures. Finally, the boundaries of motor decline as part of normal aging and pathological neurodegeneration will be discussed.

2021 ◽  
pp. 1-10
Author(s):  
Keran Wang ◽  
Zhehui Luo ◽  
Chenxi Li ◽  
Xuemei Huang ◽  
Eric J. Shiroma ◽  
...  

Background: Literature shows an inverse association of circulating cholesterol level with the risk of Parkinson’s disease (PD); this finding has important ramifications, but its interpretation has been debated. Objective: To longitudinally examine how blood total cholesterol changes during the development of PD. Methods: In the Health, Aging and Body Composition study (n = 3,075, 73.6±2.9 years), blood total cholesterol was measured at clinic visit years 1, 2, 4, 6, 8, 10, and 11. We first examined baseline cholesterol in relation to PD risk, adjusting for potential confounders and competing risk of death. Then, by contrasting the observed with expected cholesterol levels, we examined the trajectory of changes in total cholesterol before and after disease diagnosis. Results: Compared to the lowest tertile of baseline total cholesterol, the cumulative incident ratio of PD and 95%confidence interval was 0.41 (0.20, 0.86) for the second tertile, and 0.69 (0.35, 1.35) for the third tertile. In the analysis that examined change of total cholesterol level before and after PD diagnosis, we found that its level began to decrease in the prodromal stage of PD and became statistically lower than the expected values∼4 years before disease diagnosis (observed-expected difference, –6.68 mg/dL (95%confidence interval: –13.14, –0.22)). The decreasing trend persisted thereafter; by year-6 post-diagnosis, the difference increased to –13.59 mg/dL (95%confidence interval: –22.12, –5.06), although the linear trend did not reach statistical significance (p = 0.10). Conclusion: Circulating total cholesterol began to decrease in the prodromal stage of PD, which may in part explain its reported inverse association with PD.


2005 ◽  
Vol 63 (3b) ◽  
pp. 766-771 ◽  
Author(s):  
Roberto César Pereira do Prado ◽  
Egberto Reis Barbosa

Depression is very frequent in Parkinson’s disease (PD) and largely unrecognized by neurologists, emphasizing the need of an approach to psychiatric symptoms by non psychiatrists in order to ensure an early diagnosis of depression in PD; clinical characteristics and the prevalence rate of depression in PD were evaluated and the relationship of depression in PD with other variables were determined. Sixty PD subjects, who fulfilled the clinical criteria for primary PD, 56,6% males, age range from 44 to 85 years old, in different stages of the disease were investigated. All subjects were submitted to the UPDRS-III, V and VI, Clinical Interview Schedule and the Hamilton depression scale. A significant correlation was found between depression and UPDRS-III, V and VI, anxiety and irritability. The frequency of depression in PD in this study was nearly 40% possessing specific features. Structured interviews and evaluation scales are essential for an accurate diagnosis and proper treatment of depression in PD.


Diagnostics ◽  
2020 ◽  
Vol 10 (5) ◽  
pp. 339 ◽  
Author(s):  
Oxana P. Trifonova ◽  
Dmitri L. Maslov ◽  
Elena E. Balashova ◽  
Guzel R. Urazgildeeva ◽  
Denis A. Abaimov ◽  
...  

Parkinson’s disease is the second most frequent neurodegenerative disease, representing a significant medical and socio-economic problem. Modern medicine still has no answer to the question of why Parkinson’s disease develops and whether it is possible to develop an effective system of prevention. Therefore, active work is currently underway to find ways to assess the risks of the disease, as well as a means to extend the life of patients and improve its quality. Modern studies aim to create a method of assessing the risk of occurrence of Parkinson’s disease (PD), to search for the specific ways of correction of biochemical disorders occurring in the prodromal stage of Parkinson’s disease, and to personalize approaches to antiparkinsonian pharmacotherapy. In this review, we summarized all available clinically approved tests and techniques for PD diagnostics. Then, we reviewed major improvements and recent advancements in genomics, transcriptomics, and proteomics studies and application of metabolomics in PD research, and discussed the major metabolomics findings for diagnostics and therapy of the disease.


2019 ◽  
Vol 64 ◽  
pp. S59-S60
Author(s):  
M. Cesari ◽  
J.A.E. Christensen ◽  
H.B.D. Sorensen ◽  
B. Mollenhauer ◽  
M.-L. Muntean ◽  
...  

2018 ◽  
Vol 8 (12) ◽  
pp. 2339 ◽  
Author(s):  
Zoltan Galaz ◽  
Jiri Mekyska ◽  
Vojtech Zvoncak ◽  
Jan Mucha ◽  
Tomas Kiska ◽  
...  

Hypokinetic dysarthria, which is associated with Parkinson’s disease (PD), affects several speech dimensions, including phonation. Although the scientific community has dealt with a quantitative analysis of phonation in PD patients, a complex research revealing probable relations between phonatory features and progress of PD is missing. Therefore, the aim of this study is to explore these relations and model them mathematically to be able to estimate progress of PD during a two-year follow-up. We enrolled 51 PD patients who were assessed by three commonly used clinical scales. In addition, we quantified eight possible phonatory disorders in five vowels. To identify the relationship between baseline phonatory features and changes in clinical scores, we performed a partial correlation analysis. Finally, we trained XGBoost models to predict the changes in clinical scores during a two-year follow-up. For two years, the patients’ voices became more aperiodic with increased microperturbations of frequency and amplitude. Next, the XGBoost models were able to predict changes in clinical scores with an error in range 11–26%. Although we identified some significant correlations between changes in phonatory features and clinical scores, they are less interpretable. This study suggests that it is possible to predict the progress of PD based on the acoustic analysis of phonation. Moreover, it recommends utilizing the sustained vowel /i/ instead of /a/.


Sensors ◽  
2019 ◽  
Vol 19 (23) ◽  
pp. 5153 ◽  
Author(s):  
Hamid Khodakarami ◽  
Lucia Ricciardi ◽  
Maria Contarino ◽  
Rajesh Pahwa ◽  
Kelly Lyons ◽  
...  

The response to levodopa (LR) is important for managing Parkinson’s Disease and is measured with clinical scales prior to (OFF) and after (ON) levodopa. The aim of this study was to ascertain whether an ambulatory wearable device could predict the LR from the response to the first morning dose. The ON and OFF scores were sorted into six categories of severity so that separating Parkinson’s Kinetigraph (PKG) features corresponding to the ON and OFF scores became a multi-class classification problem according to whether they fell below or above the threshold for each class. Candidate features were extracted from the PKG data and matched to the class labels. Several linear and non-linear candidate statistical models were examined and compared to classify the six categories of severity. The resulting model predicted a clinically significant LR with an area under the receiver operator curve of 0.92. This study shows that ambulatory data could be used to identify a clinically significant response to levodopa. This study has also identified practical steps that would enhance the reliability of this test in future studies.


2020 ◽  
pp. 1-9
Author(s):  
Roni Netser ◽  
Docia L. Demmin ◽  
Roseanne Dobkin ◽  
Ariel Goldstein ◽  
Matthew Roché ◽  
...  

Background: Parkinson’s disease (PD) is known to affect retinal structure and activity. As such, retinal evaluations may be used to develop objective and possibly early PD diagnostic tools. Objective: The aim of this study was to investigate the effects of Parkinson’s disease (PD) manifestation and treatment on retinal activity. Methods: Data were collected on 21 participants diagnosed with PD, including the number of medications taken, clinical scales and flash electroretinography (fERG) measurements, under light-adapted and dark-adapted conditions. The fERG parameters measured included a-wave and b-wave amplitude and implicit time (i.e., latency). First, we investigated correlations between symptom measure scores and the fERG parameters. Next, we divided participants into two groups based on their antiparkinsonian medication load and analyzed differences between these groups’ fERG parameters. Results: fERG parameters were strongly correlated with a number of clinical variables, including motor and non-motor symptoms and age at PD onset. Photoreceptor cell implicit time was longer among participants taking one or less antiparkinsonian medication as compared to those taking two or more. However, overall there was not strong evidence of a relationship between the number of antiparkinsonian medications taken and the fERG parameters. Conclusion: Findings suggest that fERG may be a useful, non-intrusive measure of retinal, and, perhaps overall CNS function, in PD. However, additional studies in larger samples are needed to clarify this association.


1996 ◽  
Vol 40 (6) ◽  
pp. 873-884 ◽  
Author(s):  
Kirk A. Frey ◽  
Robert A. Koeppe ◽  
Michael R. Kilbourn ◽  
Thierry M. Vander Borght ◽  
Roger L. Albin ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document